Evaluating subjective compositions by the cooperation between human and adaptive agents

Chung Yuan Huang*, Ji Lung Hsieh, Chuen Tsai Sun, Chia Ying Cheng

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

We describe a music recommender model that uses intermediate agents to evaluate music composition according to their own rules respectively, and make recommendations to user. After user scoring recommended items, agents can adapt their selection rules to fit user tastes, even when user preferences undergo a rapid change. Depending on the number of users, the model can also be applied to such tasks as critiquing large numbers of music, image, or written compositions in a competitive contest with other judges. Several experiments are reported to test the model's ability to adapt to rapidly changing conditions yet still make appropriate decisions and recommendations.

原文英語
主出版物標題MICAI 2006
主出版物子標題Advances in Artificial Intelligence - 5th Mexican International Conference on Artificial Intelligence, Proceedings
發行者Springer Verlag
頁面974-984
頁數11
ISBN(列印)3540490264, 9783540490265
出版狀態已發佈 - 2006 一月 1
事件5th Mexican International Conference on Artificial Intelligence, MICAI 2006: Advances in Artificial Intelligence - Apizaco, 墨西哥
持續時間: 2006 十一月 132006 十一月 17

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4293 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

其他

其他5th Mexican International Conference on Artificial Intelligence, MICAI 2006: Advances in Artificial Intelligence
國家/地區墨西哥
城市Apizaco
期間2006/11/132006/11/17

ASJC Scopus subject areas

  • 理論電腦科學
  • 電腦科學(全部)

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